How-To Geek on MSN

Generate realistic test data in Python fast. No dataset required

Learn the NumPy trick for generating synthetic data that actually behaves like real data.
GitHub

BMSSP (Python) — Bounded Multi-Source Shortest Path

An efficient and faithful Python implementation of the Bounded Multi-Source Shortest Path (BMSSP) algorithm, along with baselines using pure-Python Dijkstra and SciPy-accelerated Dijkstra. This ...
IEEE

Model-Based Deep Learning for Multi-Source 2D-DOA Estimation with Uniform Circular Array

In this paper, a novel two-dimensional direction-of-arrival (2D-DOA) estimator with uniform circular arrays (UCAs) based on model-based deep learning is presented. Inspired by the interpretability of ...
GitHub

An open-source Python-based unstructured Mesh Generator(PyMeshGen) for CFD/FEA analysis, providing basic 2D mesh generation tools and study platform of widely used algorithms.

Neural Network-Based Mesh Smoothing(NN-Smoothing) Deep Reinforcement Learning-Based Mesh Smoothing(DRL-Smoothing) Mesh Optimization with Adam Optimizer(Adam-Smoothing) ...